Relevant bibliographies by topics / Event rate

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Event rate'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Event rate"

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Wiersema, Roeljan, Jaap Van Der Meere, Herbert Roeyers, Rudy Van Coster, and Dieter Baeyens. "Event rate and event-related potentials in ADHD." Journal of Child Psychology and Psychiatry 47, no. 6 (January 30, 2006): 560–67. http://dx.doi.org/10.1111/j.1469-7610.2005.01592.x.

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Pickel, J. C. "Single-event effects rate prediction." IEEE Transactions on Nuclear Science 43, no. 2 (April 1996): 483–95. http://dx.doi.org/10.1109/23.490895.

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Basin, David, Bhargav Nagaraja Bhatt, Srđan Krstić, and Dmitriy Traytel. "Almost event-rate independent monitoring." Formal Methods in System Design 54, no. 3 (February 6, 2019): 449–78. http://dx.doi.org/10.1007/s10703-018-00328-3.

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Corcelli, S. A., J. A. Rahman, and J. C. Tully. "Efficient thermal rate constant calculation for rare event systems." Journal of Chemical Physics 118, no. 3 (January 15, 2003): 1085–88. http://dx.doi.org/10.1063/1.1529192.

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BELL, JOHN R. "Protocol Cuts Hospital's Hypoglycemia Event Rate." Internal Medicine News 40, no. 6 (March 2007): 11. http://dx.doi.org/10.1016/s1097-8690(07)70276-7.

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Roy, A., P. N. Steinmetz, and E. Niebur. "Rate Limitations of Unitary Event Analysis." Neural Computation 12, no. 9 (September 1, 2000): 2063–82. http://dx.doi.org/10.1162/089976600300015060.

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Unitary event analysis is a new method for detecting episodes of synchronized neural activity (Riehle, Grüun, Diesmann, & Aertsen, 1997). It detects time intervals that contain coincident firing at higher rates than would be expected if the neurons fired as independent inhomogeneous Poisson processes; all coincidences in such intervals are called unitary events (UEs). Changes in the frequency of UEs that are correlated with behavioral states may indicate synchronization of neural firing that mediates or represents the behavioral state. We show that UE analysis is subject to severe limitations due to the underlying discrete statistics of the number of coincident events. These limitations are particularly stringent for low (0–10 spikes/s) firing rates. Under these conditions, the frequency of UEs is a random variable with a large variation relative to its mean. The relative variation decreases with increasing firing rate, and we compute the lowest firing rate, at which the 95% confidence interval around the mean frequency of UEs excludes zero. This random variation in UE frequency makes interpretation of changes in UEs problematic for neurons with low firing rates. As a typical example, when analyzing 150 trials of an experiment using an averaging window 100 ms wide and a 5ms coincidence window, firing rates should be greater than 7 spikes per second.
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Bouaziz, O., and A. Guilloux. "A penalized algorithm for event-specific rate models for recurrent events." Biostatistics 16, no. 2 (November 11, 2014): 281–94. http://dx.doi.org/10.1093/biostatistics/kxu046.

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Hochberg, Alan M., Ronald K. Pearson, Donald J. OʼHara, and Stephanie J. Reisinger. "Drug-versus-Drug Adverse Event Rate Comparisons." Drug Safety 32, no. 2 (2009): 137–46. http://dx.doi.org/10.2165/00002018-200932020-00006.

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Tuli, Sagun K., Jayshree Tuli, Peng Chen, and Eric J. Woodard. "Fusion rate: a time-to-event phenomenon." Journal of Neurosurgery: Spine 1, no. 1 (July 2004): 47–51. http://dx.doi.org/10.3171/spi.2004.1.1.0047.

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Object. The term “fusion rate” is generally denoted in the literature as the percentage of patients with successful fusion over a specific range of follow up. Because the time to fusion is a time-to-event phenomenon a more accurate method of representation may be made using the Kaplan—Meier method of estimation. Methods. The current study was performed to illustrate that fusion rate is more accurately represented by median times as calculated using survival analysis. Patients undergoing a cervical decompressive corpectomy and reconstruction formed the basis of the primary analysis. A secondary analysis was made to evaluate the difference in the fusion times for one- compared with multilevel corpectomy cases. Data were collected at a tertiary care institution over a 5-year period with 6-month follow up after the last recruitment. Descriptive statistics of baseline patient characteristics, the extent of disease, and the surgical intervention were obtained. Fusion was the final outcome, and it was defined as the “event.” The presence of any trabeculae bridging between the vertebral body and allograft signified the occurrence of an event. Postoperative static radiographs were evaluated by independent neuroradiologists to assess the presence of fusion. Fusion rate was determined using the Kaplan—Meier estimate. The median time to fusion was calculated, as were the 95% confidence intervals (CIs). These were stratified for patients who underwent one- and two-level vertebrectomy. The log-rank test was used to differentiate between one-level and multilevel corpectomy. Multivariate analysis was performed using Cox regression for further evaluation, by adjusting for covariates (age, sex, smoking history). Fifty-seven patients underwent single- or multilevel corpectomy and fusion. The male/female ratio was similar, with a median age of 53 years. Fourteen patients had a history of cigarette smoking. Thirty-six patients underwent a one-level corpectomy, 20 a two-level corpectomy, and one patient underwent a three-level corpectomy. The analysis was restricted to one- and two-level cases. The median time to fusion for the cephalad and caudad aspect of the graft—host interface was 88 days (95% CI 82–94 days) and 85 days (95% CI 77–93 days), respectively. As generally reported in the literature, this translates to a 92% (by 2.1 years) and 93% (by 1.5 years) fusion rate, for the cephalad and caudad, respectively. The median time to fusion for the cephalad aspect of the graft for one-level vertebrectomy was 87 days (95% CI 83–91 days), whereas for two-level vertebrectomy was 90 days (95% CI 59–121 days). The median time to fusion for the caudal aspect of the graft—host interface was 85 days (95% CI 80–90 days) for one-level corpectomy and 90 days (95% CI 83–97 days) for the two-level cases. There was no statistically significant difference in the median time to fusion for one- and two-level corpectomy at either the superior or inferior aspect of the graft (p = 0.19 and 0.84, respectively). This held true even after adjusting for covariates. Conclusions. Fusion rate is a time-to-event phenomenon and is more accurately represented using the Kaplan—Meier method of estimation.
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MACNEIL, JANE SALODOF. "LMW Heparin Cuts Event Rate in Cancer." Internal Medicine News 42, no. 1 (January 2009): 1–4. http://dx.doi.org/10.1016/s1097-8690(09)70001-0.

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Dissertations / Theses on the topic "Event rate"

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Harris, E. D. "Rate limiting in an event-driven BGP speaker." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.603760.

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The Border Gateway Protocol (BGP) is the Internet’s interdomain routing system  BGP is a global, distributed, peer-to-peer system consisting of tens of thousands of routers in the different networks which make up the Internet. Each BGP-speaking router, or speaker, is continually exchanging information with its neighbours about changes to the destinations to which it can send packets and the routes it uses to get there. However BGP is also just another application, competing for processor time and resources with all the other applications running on the same router. The way a router’s BGP software is implemented can have an enormous impact not only on that router’s individual performance, but on the performance of the Internet as a whole. Rate limiting is an important optimisation which can improve BGP’s network-wide performance and reduce its demands on the router running it. Nevertheless XORP, an interesting new software router aimed at both researchers and commercial users, does not support rate limiting. This is at least partly because XORP uses an innovative event-driven, pipelined route processing model which does not fit well with the traditional, timer-based way of implementing BGP with rate limiting. This dissertation argues that a serious, modern BGP speaker such as XORP must support rate limiting. It presents two different implementations of rate limiting in XORP’s route processing pipeline, representing different trade-offs between features and performance on the one hand and implementation impact t on the other. The first implementation requires no changes to the pipeline architecture but sacrifices some of its run-time capabilities. The second implementation requires fundamental changes throughout the pipeline but retains much more of its power. In the best case, experiments with a single XORP router show that both rate-limiting implementations significantly reduce BGP processing requirements; in the worst case, they equal or out-perform the standard XORP BGP speaker in all but one test. Further experiments, using several router instances in a virtualised testbed network, show that rate limiting also improves XORP’s network-wide behaviour.
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Mohney, Jack D. "Age and vigilance: The effects of event rate and task pacing." CSUSB ScholarWorks, 1986. https://scholarworks.lib.csusb.edu/etd-project/329.

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Wu, Junfeng, Qing-Shan Jia, Karl Henrik Johansson, and Ling Shi. "Event-Based Sensor Data Scheduling : Trade-Off Between Communication Rate and Estimation Quality." KTH, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-111423.

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We consider sensor data scheduling for remote state estimation. Due to constrained communication energy and bandwidth, a sensor needs to decide whether it should send the measurement to a remote estimator for further processing. We propose an event-based sensor data scheduler for linear systems and derive the corresponding minimum squared error estimator. By selecting an appropriate eventtriggering threshold, we illustrate how to achieve a desired balance between the sensor-to-estimator communication rate and the estimation quality. Simulation examples are provided to demonstrate the theory.

QC 20130318

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Alcaina, Acosta José Joaquín. "Design and implementation of event-based multi-rate controllers for networked control systems." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/159884.

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[ES] Con esta tesis se pretende dar solución a algunos de los problemas más habituales que aparecen en los Sistemas de control basados en red (NCS) como son los retardos variables en el tiempo, las pérdidas y el desorden de paquetes, y la restricción de ancho de banda y de recursos computacionales y energéticos de los dispositivos que forman parte del sistema de control. Para ello se ha planteado la integración de técnicas de control multifrecuencial, de control basado en paquetes, de control basado en predictor y de control basado en eventos. Los diseños de control realizados se han simulado utilizando Matlab-Simulink y Truetime, se ha analizado su estabilidad mediante LMIs y QFT, y se han validado experimentalmente en un péndulo invertido, un robot cartesiano 3D y en robots móviles de bajo coste. El artículo 1 aborda el control basado en eventos, el cual minimiza el ancho de banda consumido en el NCS mediante un control basado en eventos periódicos y presenta un método para obtener sus parámetros óptimos para el sistema específico en que se utilice. Los artículos 2, 4 y 6 añaden el control basado en paquetes, así como el control multifrecuencia, que aborda problemas de falta de datos por bajo uso del sensor y los retardos, pérdidas y desórdenes de paquetes en la red. También afrontan, mediante tecnicas de predicción basadas en un filtro de Kalman multifrecuencia variable en el tiempo, los problemas de ruido y perturbaciones, así como la observación de los estados completos del sistema. El artículo 7 hace frente a un modelo no lineal que utiliza las anteriores soluciones junto con un filtro de Kalman extendido para presentar otro tipo de estructura para un vehículo autónomo que, gracias a la información futura obtenida mediante estas técnicas, puede realizar de forma remota tareas de alto nivel como es la toma de decisiones y la monitorización de variables. Los artículos 3 y 5, presentan una forma de obtener y analizar la respuesta en frecuencia de sistemas SISO multifrecuencia y estudian su comportamiento ante ciertas incertidumbres o problemas en la red haciendo uso de procedimientos QFT.
[CA] Amb aquesta tesi es pretén donar solució a alguns dels problemes més habituals que apareixen als Sistemes de Control Basats en xarxa (NCS) com son els retards d'accés i transferència variables en el temps, les pèrdues y desordenament de paquets, i la restricció d'ampli de banda així com de recursos computacionals i energètics dels dispositius que foment part del sistema de control. Per tal de resoldre'ls s'ha plantejat la integració de tècniques de control multifreqüencial, de control basat en paquets, de control basat en predictor i de control basat en events. Els dissenys de control realitzats s'han simulat fent ús de Matlab-Simulink i de TrueTime, s'ha analitzat la seua estabilitat mitjançant LMIs i QFT, i s'han validat experimentalment en un pèndul invertit, un robot cartesià 3D i en robots mòbils de baix cost. L'article 1 aborda el control basat en events, el qual minimitza l'ampli de banda consumit a l'NCS mitjançant un control basat en events periòdics i presenta un mètode per a obtindré els seus paràmetres òptims per al sistema específic en el qual s'utilitza. Els articles 2, 4 i 6 afegeixen el control basat en paquets, així com el control multifreqüència, que aborda problemes de falta de dades per el baix us del sensor i els retards, pèrdues i desordre de paquets en la xarxa. També afronten, mitjançant tècniques de predicció basades en un filtre de Kalman multifreqüència variable en el temps. Els problemes de soroll i pertorbacions, així com la observació dels estats complets del sistema. L'article 7 fa referència a un model no lineal que utilitza les anteriors solucions junt a un filtre de Kalman estès per a presentar altre tipus d'estructura per a un vehicle autònom que, gracies a la informació futura obtinguda mitjançant aquestes tècniques, pot realitzar de manera remota tasques d'alt nivell com son la presa de decisions i la monitorització de variables. Els articles 3 y 5 presenten la manera d'obtindre i analitzar la resposta en frequencia de sistemes SISO multifreqüència i estudien el seu comportament front a certes incerteses o problemes en la xarxa fent us de procediments QFT.
[EN] This thesis attempts to solve some of the most frequent issues that appear in Networked Control Systems (NCS), such as time-varying delays, packet losses and packet disorders and the bandwidth limitation. Other frequent problems are scarce computational and energy resources of the local system devices. Thus, it is proposed to integrate multirate control, packet-based control, predictor-based control and event-based control techniques. The control designs have been simulated using Matlab-Simulink and Truetime, the stability has been analysed by LMIs and QFT, and the experimental validation has been done on an inverted pendulum, a 3D cartesian robot and in low-cost mobile robots. Paper 1 addresses event-based control, which minimizes the bandwidth consumed in NCS through a periodic event-triggered control and presents a method to obtain the optimal parameters for the specific system used. Papers 2, 4 and 6 include packet-based control and multirate control, addressing problems such as network delays, packet dropouts and packet disorders, and the scarce data due to low sensor usage in order to save battery in sensing tasks and transmissions of the sensed data. Also addressed, is how despite the existence of measurement noise and disturbances, time-varying dual-rate Kalman filter based prediction techniques observe the complete state of the system. Paper 7 tackles a non-linear model that uses all the previous solutions together with an extended Kalman filter to present another type of structure for an autonomous vehicle that, due to future information obtained through these techniques, can remotely carry out high level tasks, such as decision making and monitoring of variables. Papers 3 and 5, present a method for obtaining and analyzing the SISO dual-rate frequency response and using QFT procedures to study its behavior when faced with specific uncertainties or network problems.
This work was supported by the Spanish Ministerio de Economía y Competitividad under Grant referenced TEC2012-31506.
Alcaina Acosta, JJ. (2020). Design and implementation of event-based multi-rate controllers for networked control systems [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/159884
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Almeida, Antonio Felipe Costa de. "Investigating techniques to reduce soft error rate under single-event-induced charge sharing." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2014. http://hdl.handle.net/10183/169238.

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The interaction of radiation with integrated circuits can provoke transient faults due to the deposit of charge in sensitive nodes of transistors. Because of the decrease the size in the process technology, charge sharing between transistors placed close to each other has been more and more observed. This phenomenon can lead to multiple transient faults. Therefore, it is important to analyze the effect of multiple transient faults in integrated circuits and investigate mitigation techniques able to cope with multiple faults. This work investigates the effect known as single-event-induced charge sharing in integrated circuits. Two main techniques are analyzed to cope with this effect. First, a placement constraint methodology is proposed. This technique uses placement constraints in standard cell based circuits. The objective is to achieve a layout for which the Soft-Error Rate (SER) due charge shared at adjacent cell is reduced. A set of fault injection was performed and the results show that the SER can be minimized due to single-event-induced charge sharing in according to the layout structure. Results show that by using placement constraint, it is possible to reduce the error rate from 12.85% to 10.63% due double faults. Second, Triple Modular Redundancy (TMR) schemes with different levels of granularities limited by majority voters are analyzed under multiple faults. The TMR versions are implemented using a standard design flow based on a traditional commercial standard cell library. An extensive fault injection campaign is then performed in order to verify the softerror rate due to single-event-induced charge sharing in multiple nodes. Results show that the proposed methodology becomes crucial to find the best trade-off in area, performance and soft-error rate when TMR designs are considered under multiple upsets. Results have been evaluated in a case-study circuit Advanced Encryption Standard (AES), synthesized to 90nm Application Specific Integrated Circuit (ASIC) library, and they show that combining the two techniques, the error rate resulted from multiple faults can be minimized or masked. By using TMR with different granularities and placement constraint methodology, it is possible to reduce the error rate from 11.06% to 0.00% for double faults. A detailed study of triple, four and five multiple faults combining both techniques are also described. We also tested the TMR with different granularities in SRAM-based FPGA platform. Results show that the versions with a fine grain scheme (FGTMR) were more effectiveness in masking multiple faults, similarly to results observed in the ASICs. In summary, the main contribution of this master thesis is the investigation of charge sharing effects in ASICs and the use of a combination of techniques based on TMR redundancy and placement to improve the tolerance under multiple faults.
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Yu, Xiaomin. "Simulation Study of Sequential Probability Ratio Test (SPRT) in Monitoring an Event Rate." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1244562576.

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Siraj, Tazeen. "Event Rate as a Moderator Variable for Vigilance: Implications for Performance-Feedback and Stress." University of Cincinnati / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1191856419.

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Wang, Fan Agrawal Vishwani D. "Soft error rate determination for nanometer CMOS VLSI circuits." Auburn, Ala, 2008. http://hdl.handle.net/10415/1517.

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Unal, Haluk. "A switching regression approach to event studies : the case of deposit-rate ceiling changes." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1261421717.

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Curtindale, Lori Marie. "DIFFERENTIAL EFFECTS OF EVENT RATE AND TEMPORAL EXPECTANCY ON SUSTAINED ATTENTION PERFORMANCE OF ADULTS AND CHILDREN." Bowling Green State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1174691694.

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Books on the topic "Event rate"

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Gaver, Donald Paul. Discrepancy-tolerant hierarchical Poisson event-rate analyses. Monterey, Calif: Naval Postgraduate School, 1985.

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Bucklew, James Antonio. Introduction to Rare Event Simulation. New York, NY: Springer New York, 2004.

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Bucklew, James Antonio. Introduction to Rare Event Simulation. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4078-3.

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An introduction to rare event simulation. New York: Springer, 2003.

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Rubino, Gerardo, and Bruno Tuffin, eds. Rare Event Simulation using Monte Carlo Methods. Chichester, UK: John Wiley & Sons, Ltd, 2009. http://dx.doi.org/10.1002/9780470745403.

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Jacobs, Bruce A. Race Manners. Camden: Arcade Publishing, 2001.

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Collins, Brett. On calculating the break-even rate of return. Melbourne: University of Melbourne. Graduate School of Management, 1988.

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J, Barro Robert. Rare events and the equity premium. Cambridge, MA: National Bureau of Economic Research, 2005.

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Benhabib, Jess. Learning, large deviations and rare events. Cambridge, MA: National Bureau of Economic Research, 2011.

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Budhiraja, Amarjit, and Paul Dupuis. Analysis and Approximation of Rare Events. New York, NY: Springer US, 2019. http://dx.doi.org/10.1007/978-1-4939-9579-0.

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Book chapters on the topic "Event rate"

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Bucklew, James Antonio. "Variance Rate Theory of Conditional Importance Sampling Estimators." In Introduction to Rare Event Simulation, 123–39. New York, NY: Springer New York, 2004. http://dx.doi.org/10.1007/978-1-4757-4078-3_6.

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McManis, Jennifer, and Pravin Varaiya. "Modeling Real-Time Systems using Rate Automata." In Discrete Event Systems, Manufacturing Systems, and Communication Networks, 177–99. New York, NY: Springer New York, 1995. http://dx.doi.org/10.1007/978-1-4613-9347-4_7.

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Woodall, William H., and Anne R. Driscoll. "Some Recent Results on Monitoring the Rate of a Rare Event." In Frontiers in Statistical Quality Control 11, 15–27. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-12355-4_2.

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Basin, David, Srđan Krstić, and Dmitriy Traytel. "Almost Event-Rate Independent Monitoring of Metric Dynamic Logic." In Runtime Verification, 85–102. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67531-2_6.

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Basin, David, Bhargav Nagaraja Bhatt, and Dmitriy Traytel. "Almost Event-Rate Independent Monitoring of Metric Temporal Logic." In Tools and Algorithms for the Construction and Analysis of Systems, 94–112. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54580-5_6.

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Sia, C. W., M. Khalil-Hani, N. Shaikh-Husin, and K. H. Boon. "Sleep Apnea Event Detection System Based on Heart Rate Variability Analysis." In Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015), 629–37. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1799-6_64.

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Li, Zhen, Sen Li, Tyrone Fernando, and Xi Chen. "Event Triggered Particle Filter Using Innovation Based Condition with Guaranteed Arrival Rate." In Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid, 87–117. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45658-0_4.

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Danchin, Nicolas, and Zena Kadri. "Clinical Perspectives of Heart Rate Slowing for Coronary Event Reduction and Heart Failure." In Heart Rate Slowing by If Current Inhibition, 45–53. Basel: KARGER, 2006. http://dx.doi.org/10.1159/000095405.

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Li, Huaqing, Qingguo Lü, Zheng Wang, Xiaofeng Liao, and Tingwen Huang. "Event-Triggered Scheme-Based Distributed Optimization over Digital Network with Limited Data Rate." In Distributed Optimization: Advances in Theories, Methods, and Applications, 115–40. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6109-2_6.

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Zabawa, Jacek, and Edward Radosiński. "Comparison of Discrete Rate Modeling and Discrete Event Simulation. Methodological and Performance Aspects." In Information Systems Architecture and Technology: Proceedings of 37th International Conference on Information Systems Architecture and Technology – ISAT 2016 – Part III, 153–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46589-0_12.

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Conference papers on the topic "Event rate"

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Poppe, Olga, Chuan Lei, Salah Ahmed, and Elke A. Rundensteiner. "Complete Event Trend Detection in High-Rate Event Streams." In SIGMOD/PODS'17: International Conference on Management of Data. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3035918.3035947.

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Karlsson, Niklas, and Qian Sang. "Event rate control in online advertising." In 2017 American Control Conference (ACC). IEEE, 2017. http://dx.doi.org/10.23919/acc.2017.7963603.

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Ebner, Simon, and Sebastian Trimpe. "Communication rate analysis for event-based state estimation." In 2016 13th International Workshop on Discrete Event Systems (WODES). IEEE, 2016. http://dx.doi.org/10.1109/wodes.2016.7497847.

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Tallapragada, Pavankumar, and Jorge Cortes. "Event-triggered control with bounded data rate." In 2014 IEEE 53rd Annual Conference on Decision and Control (CDC). IEEE, 2014. http://dx.doi.org/10.1109/cdc.2014.7039690.

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su, Binyi, Lei Yu, and Wen Yang. "Event-Based High Frame-Rate Video Reconstruction With A Novel Cycle-Event Network." In 2020 IEEE International Conference on Image Processing (ICIP). IEEE, 2020. http://dx.doi.org/10.1109/icip40778.2020.9191114.

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Ivanova, A. A., S. V. Ivanenko, A. N. Kvashnin, E. A. Puriga, A. F. Rovenskikh, and A. D. Khilchenko. "Gamma-ray spectrometer with high event processing rate." In 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference (2012 NSS/MIC). IEEE, 2012. http://dx.doi.org/10.1109/nssmic.2012.6551267.

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Sogoyan, Armen V., Alexander I. Chumakov, and Anatoly A. Smolin. "Single Event Rate Prediction Method for Advanced CMOS Technologies." In 2018 International Conference on Radiation Effects of Electronic Devices (ICREED). IEEE, 2018. http://dx.doi.org/10.1109/icreed.2018.8905071.

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Lichun, Li,. "Stabilizing Bit-Rate of Disturbed Event Triggered Control Systems." In Analysis and Design of Hybrid Systems, edited by Heemels, Maurice, chair Giua, Alessandro and Heemels, Maurice. IFAC, Elsevier, 2012. http://dx.doi.org/10.3182/20120606-3-nl-3011.00012.

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Johnson, Erik B., Chad Whitney, Sam Vogel, James F. Christian, Keith Holbert, and Premkumar Chandhran. "High event rate, pulse shape discrimination algorithm for CLYC." In 2015 IEEE International Symposium on Technologies for Homeland Security (HST). IEEE, 2015. http://dx.doi.org/10.1109/ths.2015.7225282.

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Aminmansour, Sina, Frederic Maire, Gregoire S. Larue, and Christian Wullems. "Improving Near-Miss Event Detection Rate at Railway Level Crossings." In 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2015. http://dx.doi.org/10.1109/dicta.2015.7371273.

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Reports on the topic "Event rate"

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Niemi, A., K. Kiss, and S. Loreto. Session Initiation Protocol (SIP) Event Notification Extension for Notification Rate Control. RFC Editor, January 2012. http://dx.doi.org/10.17487/rfc6446.

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Koga, Rokutaro, Wojciech A. Kolasinski, and Michael T. Marra. Techniques of Microprocessor Testing and SEU (Single Event Upset)-Rate Prediction. Fort Belvoir, VA: Defense Technical Information Center, August 1986. http://dx.doi.org/10.21236/ada173176.

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Gaver, Donald P., Patricia A. Jacobs, and I. G. O'Muircheartaigh. Regression Analysis of Hierarchical Poisson-Like Event Rate Data: Super- Population Model Effect on Predictions. Fort Belvoir, VA: Defense Technical Information Center, August 1990. http://dx.doi.org/10.21236/ada230297.

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Chenette, D. L., T. L. Schumaker, and A. E. Williamson. An Accurate and Efficient Method to Calculate the Rate of Single Event Upsets from the LET Spectrum and SEU Cross Section Test Results. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada253917.

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Kollman, Craig. Rare event simulation in radiation transport. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10172053.

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VIREN, B. EVENT RATES FOR OFF AXIS NUMI EXPERIMENTS. Office of Scientific and Technical Information (OSTI), July 2006. http://dx.doi.org/10.2172/890928.

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Richter, B. Event rates to be expected at PEP. Office of Scientific and Technical Information (OSTI), January 1988. http://dx.doi.org/10.2172/6976370.

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Shortle, John F. New Approaches for Rare-Event Simulation and Decision Making. Office of Scientific and Technical Information (OSTI), September 2013. http://dx.doi.org/10.2172/1128906.

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Chen, Lan Bo. Detection of Biological Warfare Pathogens by Rare Event Imaging. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada414196.

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Barro, Robert, and Tao Jin. Rare Events and Long-Run Risks. Cambridge, MA: National Bureau of Economic Research, January 2016. http://dx.doi.org/10.3386/w21871.

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